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	\begin{landscape}
	
	\begin{table}[ht]
		\caption{Predicted validated and self-reported turnout for DNES sample frame and respondents}
		\label{tab:models}
		
		
		
		\begin{tabular}{lcccc} \hline
			
			& Model 1 & Model 2 & Model 3 & Model 4 \\ \hline
			\textit{Dependent variable}	 & Population	& DNES sample frame & DNES respondents & DNES respondents \\ 
			& Validated turnout & Validated turnout & Validated turnout & Self-reported turnout \\ \hline
			Age (10 years) & 0.188 & 0.192 & 0.126 & 0.105 \\ 
			& (2e-04) & (0.036) & (0.037) & (0.033) \\ 
			Education &  &  &  &  \\ 
			(\textit{Baseline = Elementary school}) &  &  &  &  \\ 
			~~~High School & 10.54 & 9.74 & 7.03 & 4.82 \\ 
			& (0.07) & (2.03) & (2.17) & (1.63) \\ 
			~~~Vocational training & 8.46 & 7.47 & 5.21 & 1.99 \\ 
			& (0.06) & (1.98) & (2.37) & (1.94) \\ 
			~~~Short/mid-cycle & 14.67 & 16.75 & 9.36 & 5.45 \\ 
			~~~(\textit{Up to a Bachelor's}) & (0.06) & (1.78) & (2.08) & (1.62) \\ 
			~~~Long-cycle & 17.12 & 20.31 & 11.84 &  \\ 
			~~~(\textit{A Master's or more}) & (0.06) & (1.75) & (1.94) & (NA) \\ 
			Female & 2.76 & 1.53 & 0.04 & 0.45 \\ 
			& (0.04) & (1.2) & (1.2) & (1.07) \\ 
			Non-native & -21.97 & -21.66 & -6.56 & -0.7 \\ 
			& (0.12) & (3.84) & (3.7) & (2.69) \\  \hline
			N            & 2,771,822 & 3,107 & 1,597  & 1,597 \\ 
			McFadden's R$^2$ & 0.07& 0.10 & 0.09 & 0.06 \\ \hline
			
			
		\end{tabular} \\ 
		\footnotesize Marginal predictions in percentage points based on a logistic regression. Other variables are held at their observed values. Standard errors in parenthesis. The model is weighted to account for oversampling of young voters. 
		
		$^a$This quantity is undefined as everyone with a long-cycle education reports that they have voted.
	\end{table}
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